Preprocessing test

What is the primary purpose of applying a band-pass filter to EEG data?

• To amplify the EEG signal

• To remove noise outside the frequency band of interest

• To convert the data from analog to digital

• To segment the data into epochs

Why is it important to visually inspect raw EEG data before starting preprocessing?

• To identify artifacts, noisy channels, and unexpected patterns in the data

• To automatically segment the data into epochs

• To immediately apply notch filters

• To adjust the sampling rate

Which of the following best describes the purpose of artifact removal in EEG preprocessing?

• To improve the spatial resolution of the data

• To increase the signal-to-noise ratio by eliminating non-neural signals

• To convert the EEG signals into frequency data

• To segment continuous data into discrete time windows

ndependent Component Analysis (ICA) is used in EEG preprocessing primarily to:

• Filter out unwanted frequencies

• Detect bad channels automatically

• Decompose the EEG signals into underlying sources (including artifacts)

• Downsample the EEG data for faster processing

Why is it important to address eye blink artifacts during EEG preprocessing?

• They are always the most frequent events in EEG

• They distort the spatial and temporal characteristics of brain activity

• They help in identifying the subject’s attention

• They increase the overall power of the EEG signal

In the context of EEG data, what is meant by "raw data"?

• Data that has been fully preprocessed and segmented

• Unprocessed data as recorded directly from the EEG system

• Data that contains only artifact information

• Data that has been converted into a frequency spectrum

How are bad channels typically identified during EEG preprocessing?

• They are channels with excessive noise or low signal quality detected through visual inspection or automated metrics

• They are channels that do not correspond to specific scalp regions

• They are channels that have high amplitude in all frequencies

• They are channels that show constant activity throughout the recording

Why is low-pass filtering used in EEG preprocessing?

• To remove slow drifts from the signal

• To eliminate high-frequency noise that is unlikely to originate from neural activity

• To segment the EEG data into epochs

• To re-reference the EEG data

What is the primary purpose of applying a notch filter in EEG preprocessing?

• To remove high-frequency brain signals

• To isolate the alpha band activity

• To eliminate specific frequency noise, such as power line interference

• To segment the EEG data into epochs

Which Python library is commonly used for EEG data preprocessing and analysis, including functions like filtering, ICA, and visualization?

• NumPy

• Pandas

• MNE-Python

• SciPy